{"title":"tr22分区域女性劳动力参与的决定因素","authors":"Şeyma ŞAHİN KUTLU","doi":"10.11611/yead.1219926","DOIUrl":null,"url":null,"abstract":"Although there have been significant developments in the female labor force participation rate in Turkey in recent years, this rate is below the OECD average. There are various social and economic reasons behind this situation. This study, female labor force participation in the Türkiye TR22 Sub-region, investigates with a logit model, taking into account the variables of age, relationship to the head of the household, marital status, education level, and household size. The micro data set of the TURKSTAT Labor Force Survey of 2021 was used in the study. The findings obtained from the analysis show that female labor force participation in the region examined in Turkey is affected by the variables of age, education level, and marital status. The results highlight that female labor force participation can be increased through education, vocational training, and entrepreneurship. The results highlight that female labor force participation can be increased through education, vocational training, entrepreneurship, and the necessity of creating a new perspective on sharing responsibility within the family.","PeriodicalId":422662,"journal":{"name":"Yönetim ve Ekonomi Araştırmaları Dergisi","volume":"1038 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DETERMINANTS OF FEMALE LABOR FORCE PARTICIPATION IN TR22 SUB-REGION\",\"authors\":\"Şeyma ŞAHİN KUTLU\",\"doi\":\"10.11611/yead.1219926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there have been significant developments in the female labor force participation rate in Turkey in recent years, this rate is below the OECD average. There are various social and economic reasons behind this situation. This study, female labor force participation in the Türkiye TR22 Sub-region, investigates with a logit model, taking into account the variables of age, relationship to the head of the household, marital status, education level, and household size. The micro data set of the TURKSTAT Labor Force Survey of 2021 was used in the study. The findings obtained from the analysis show that female labor force participation in the region examined in Turkey is affected by the variables of age, education level, and marital status. The results highlight that female labor force participation can be increased through education, vocational training, and entrepreneurship. The results highlight that female labor force participation can be increased through education, vocational training, entrepreneurship, and the necessity of creating a new perspective on sharing responsibility within the family.\",\"PeriodicalId\":422662,\"journal\":{\"name\":\"Yönetim ve Ekonomi Araştırmaları Dergisi\",\"volume\":\"1038 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Yönetim ve Ekonomi Araştırmaları Dergisi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11611/yead.1219926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Yönetim ve Ekonomi Araştırmaları Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11611/yead.1219926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DETERMINANTS OF FEMALE LABOR FORCE PARTICIPATION IN TR22 SUB-REGION
Although there have been significant developments in the female labor force participation rate in Turkey in recent years, this rate is below the OECD average. There are various social and economic reasons behind this situation. This study, female labor force participation in the Türkiye TR22 Sub-region, investigates with a logit model, taking into account the variables of age, relationship to the head of the household, marital status, education level, and household size. The micro data set of the TURKSTAT Labor Force Survey of 2021 was used in the study. The findings obtained from the analysis show that female labor force participation in the region examined in Turkey is affected by the variables of age, education level, and marital status. The results highlight that female labor force participation can be increased through education, vocational training, and entrepreneurship. The results highlight that female labor force participation can be increased through education, vocational training, entrepreneurship, and the necessity of creating a new perspective on sharing responsibility within the family.